Package: countgmifs 0.0.2

countgmifs: Discrete Response Regression for High-Dimensional Data

Provides a function for fitting Poisson and negative binomial regression models when the number of parameters exceeds the sample size, using the the generalized monotone incremental forward stagewise method.

Authors:Kellie Archer [aut, cre]

countgmifs_0.0.2.tar.gz
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countgmifs.pdf |countgmifs.html✨
countgmifs/json (API)
NEWS

# Install 'countgmifs' in R:
install.packages('countgmifs', repos = c('https://kelliejarcher.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kelliejarcher/countgmifs/issues

On CRAN:

Conda:

3.70 score 1 scripts 170 downloads 1 mentions 1 exports 1 dependencies

Last updated 3 years agofrom:b94d7caea3. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 23 2025
R-4.5-winOKMar 23 2025
R-4.5-macOKMar 23 2025
R-4.5-linuxOKMar 23 2025
R-4.4-winOKMar 23 2025
R-4.4-macOKMar 23 2025
R-4.4-linuxOKMar 23 2025
R-4.3-winOKMar 23 2025
R-4.3-macOKMar 23 2025

Exports:countgmifs

Dependencies:MASS

An R Package for Discrete Response Modeling for High-Dimensional Data

Rendered fromcountgmifs.rnwusingutils::Sweaveon Mar 23 2025.

Last update: 2022-04-06
Started: 2022-04-06